Senior Machine Learning Engineer

BuildOps; Toronto; Hybrid; CAD 100,000 - 140,000; Full time

Job summary

BuildOps, a leading commercial trade platform, seeks a Senior Machine Learning Engineer. This role focuses on developing AI-driven features for their advanced software, requiring expertise in Python and machine learning frameworks. Join a dynamic startup revolutionizing the contracting industry!

Benefits

Negotiable base salary + annual bonus

Generous equity grant

Flexible PTO and hybrid work schedules

Work from home stipend

Company events like BBQs

Opportunities for growth and career advancement

Qualifications

• 5+ years in full stack software development required.
• 2+ years developing AI solutions preferred with LLMs.
• Experience with AI/ML frameworks including TensorFlow and PyTorch.

Responsibilities

• Build and deploy machine learning models using Python.
• Collaborate with teams to deliver impactful AI solutions.
• Participate in PR reviews and implement ML tooling.

Skills

Python

Machine Learning

AI Solutions

Communication

Tools

PyTorch

AWS SageMaker

MLOps

TensorFlow

Job description

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At BuildOps, we’re building a groundbreaking software solution designed to support today’s commercial contractors. From managing service departments to project management, we’re breaking the mold and building a team that’s invested in our mission. We thrive on hiring driven, self-motivated individuals with tech start-up experience who excel in fast-paced environments. Could you be our next hire?

This role offers the opportunity to join a well-funded, fast-growing technology startup and help build out a critical function for the company.

As a Senior Machine Learning Engineer, your primary focus will be implementing and enhancing AI / ML features in our industry-leading platform. We’re looking for someone who is passionate about delivering practical, high-quality software and can collaborate effectively in a distributed team environment.

What You'll Do :

• Build and deploy machine learning models using Python (e.g., PyTorch) on platforms like AWS SageMaker
• Develop backend and client-side code to integrate with cloud-based LLM APIs (e.g., Bedrock, ChatGPT APIs).
• Manage monitoring (Wandb.ai, MLFlow, etc), deployment, and assist with hyperparameter tuning
• Implement your own ML endpoints in our various React / NodeJS applications
• Collaborate with data scientists and cross-functional teams to deliver impactful and practical AI solutions
• Work in tandem with the quality engineering team to ship high-availability software
• Build and maintain automated unit tests : unit, integration and UI
• Participate in PR reviews and ensure proper implementation of ML tooling across our stack
• Communicate effectively with engineers, product managers, customers, partners, and other leaders.
• Stay up-to-date on the latest AI technologies and trends to help other areas of the company find leverage in new advancements

What We Expect :

• 2+ years of experience in developing AI solutions preferably with LLMs
• 5+ years of experience in Full Stack software development
• 5+ years of experience in Python
• Familiar with MLOps / deployment best practices (Sagemaker experience is a plus)
• Familiarity with vector databases and text embeddings
• Proven ability to manage / deploy machine learning models
• Experience with AI / ML frameworks such as TensorFlow, PyTorch, numpy or scikit-learn
• Strong communication and technical writing skills.
• Familiarity with unit testing, debugging, profiling and performance monitoring in AWS environment.
• Prior experience with Node.js, building features using REST and / or GraphQL APIs using Apollo preferred
• Prior knowledge or ability to quickly learn developing in a MLOps environment (MLflow or similar) preferred.
• Ability to work a hybrid schedule - Monday / Friday WFH, Tuesday - Thursday, in office

What We Offer :

• Negotiable base salary + annual bonus
• Generous equity grant, become an owner in our company!
• Flexible PTO and hybrid work schedules
• Work from home stipend
• Hubs in Los Angeles, Toronto, and Raleigh with hybrid work schedules with lunch provided for in-office days
• Company events like BBQs and team-building activities, both in-person and virtual
• Fast-paced, collaborative, and dynamic work environment
• Opportunities for growth and career advancement
• Chance to work with cutting-edge technology and innovative solutions
• The chance to get in on the ground floor and build something truly groundbreaking for ourselves and our amazing customers

About BuildOps

Join BuildOps, the largest commercial trade platform in the country, as we transform the multi-billion dollar commercial contracting industry!

We’re not just talking incremental improvements—we’re talking a full-scale revolution, empowering the hardworking heroes who build and maintain the infrastructure that keeps our world running. See why contractors choose Buildops here.

This is your chance to be part of a rocketship. We’re fresh off a $1 billion valuation and a $127M Series C funding round (part of over $275M raised to date) led by industry-leading investors like Meritech Capital, BOND, and SE Ventures, backed by Schneider Electric (Reuters, TechCrunch, LA Business Journal) . Our latest investors join our team of industry heavyweights like Next47, former Twitter CEO Dick Costolo, former Salesforce President Gavin Patterson, and Boost Mobile CEO Stephen Stokols. Their investment is fueling our aggressive growth and our commitment to equipping contractors with AI-driven tools to conquer chaos, boost efficiency, skyrocket profitability, and ultimately, deliver exceptional service.

At BuildOps, we’re changing the game and doing the best work of our careers. You’ll be a key player in a company that’s truly making a difference for the backbone of our economy. If you’re ready to tackle big challenges, work with a passionate team, and build something extraordinary, BuildOps is the place for you.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

Software Development

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Machine Learning Engineer • Toronto, ON, Canada